Figure 1 from Dietary Fiber Lacks a Consistent Effect on Immune Checkpoint Blockade Efficacy Across Diverse Murine Tumor Models
Year: 2025
Type: other
Abstract: Microbiome composition is primarily shaped by diet type and is partially restored to chow-like levels by isolated fiber. A, Macronutrient and fiber composition of diets used in this study represented by %gram. In each tumor experiment, we used one of the low cellulose (LC)–purified diets (low fiber) and up to four of the high cellulose (HC)–purified diets (high fiber). LC = 2.5 to 2.6 %gram and HC = 14.9 to 15.7 %gram. Numbers in diet names represent %gram of inulin (In) in the diets. B, Schematic of the study design for the metagenomics (this figure) and metabolomics (Fig. 2). C, Principal coordinate analysis of all metagenomic samples from the B16-OVA experiment. PC, principal component. D, Shannon α diversity index across the dietary groups. Boxes represent the IQR with median shown as a horizontal line, whiskers extend from minimum to maximum values, and different letters above the bars indicate statistically significant differences between groups (P < 0.05) by a one-way ANOVA followed by the Tukey post hoc test. E, Relative abundances of microbiome composition at the phylum level, shown as the mean for each group. F, Heatmap depicting the relative abundances of 314 taxa after filtering out low-abundance taxa (<30 counts in >85% of samples). G, Venn diagram of significantly changed taxa in mice fed with chow vs. low–fiber-purified diet (LC_In0) and in mice fed with high–fiber (HC_In8)- vs. low–fiber (LC_In0)-purified diet (all B16-OVA tumors and anti–PD-1 treatment). H, Scatter plot of the 81 taxa altered by both chow and high-fiber–purified diet, displaying correlations between these two conditions. Each dot represents a specific taxon, with dot color indicating the taxon’s phylum as specified in the legend. For C–H, data are from n = 5 to 7 mice per group. FC, fold change. (B, Created with sciencefigures.org.)
Authors: Asael Roichman, Gabriela Reyes-Castellanos, Ziqing Chen, Zihong Chen, Sarah J. Mitchell, Michael R. MacArthur, Akshada Sawant, Llewelyn Levett, Jesse R. Powers, Victoria Burgo, Maria Gomez-Jenkins, Maria Ibrahim, Xincheng Xu, Beianka Tomlinson, Xiang Hang, Eric G. Pamer, Yong Wei, Yibin Kang, Eileen P. White, Joshua D. Rabinowitz
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4413906788